Rough Set Discretize Classification of Intrusion Detection System
Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the arising issue. In rough set, there are several stage processing including discretization pa...
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| Format: | Article |
| Language: | English |
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Medwell Journals
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/21201/ http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf |
| _version_ | 1848821296178135040 |
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| author | Noor Suhana, Sulaiman Rohani, Abu Bakar |
| author_facet | Noor Suhana, Sulaiman Rohani, Abu Bakar |
| author_sort | Noor Suhana, Sulaiman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Many pattern classification tasks confront with the problem that may have a very high dimensional
feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the
arising issue. In rough set, there are several stage processing including discretization part which is a vital task in data mining, particularly in the classification problem. Two results distinguish showing that the discretization stage is hugely important in both training and testing of IDS data. In proposed framework, analysis should been done to discretization, reduct and rules stage to determine the significant algorithm and core element in IDS data. The classification using standard voting, since it is a rule-based classification. |
| first_indexed | 2025-11-15T02:23:05Z |
| format | Article |
| id | ump-21201 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:23:05Z |
| publishDate | 2016 |
| publisher | Medwell Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-212012018-05-25T06:57:19Z http://umpir.ump.edu.my/id/eprint/21201/ Rough Set Discretize Classification of Intrusion Detection System Noor Suhana, Sulaiman Rohani, Abu Bakar QA75 Electronic computers. Computer science Many pattern classification tasks confront with the problem that may have a very high dimensional feature space like in Intrusion Detection System (IDS) data. Rough set is widely used in IDS to overcome the arising issue. In rough set, there are several stage processing including discretization part which is a vital task in data mining, particularly in the classification problem. Two results distinguish showing that the discretization stage is hugely important in both training and testing of IDS data. In proposed framework, analysis should been done to discretization, reduct and rules stage to determine the significant algorithm and core element in IDS data. The classification using standard voting, since it is a rule-based classification. Medwell Journals 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf Noor Suhana, Sulaiman and Rohani, Abu Bakar (2016) Rough Set Discretize Classification of Intrusion Detection System. Journal of Engineering and Applied Sciences, 11 (3). pp. 488-496. ISSN 1816-949x (Print); 1818-7803 (Online). (Published) https://www.medwelljournals.com/abstract/?doi=jeasci.2016.488.496 DOI: 10.3923/jeasci.2016.488.496 |
| spellingShingle | QA75 Electronic computers. Computer science Noor Suhana, Sulaiman Rohani, Abu Bakar Rough Set Discretize Classification of Intrusion Detection System |
| title | Rough Set Discretize Classification of Intrusion Detection System |
| title_full | Rough Set Discretize Classification of Intrusion Detection System |
| title_fullStr | Rough Set Discretize Classification of Intrusion Detection System |
| title_full_unstemmed | Rough Set Discretize Classification of Intrusion Detection System |
| title_short | Rough Set Discretize Classification of Intrusion Detection System |
| title_sort | rough set discretize classification of intrusion detection system |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/21201/ http://umpir.ump.edu.my/id/eprint/21201/ http://umpir.ump.edu.my/id/eprint/21201/ http://umpir.ump.edu.my/id/eprint/21201/1/Scopus%20Q3.pdf |